934 Open source projects that are alternatives of or similar to Make Sense

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

Real-time object detection on Android using the YOLO network with TensorFlow

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

A collaborative tool for labeling image data for yolo

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

YOLOv2 and MobileNet_SSD detection algorithms used along with KCF object tracker

A Jupyter widget for annotating images with bounding boxes

Convert between visual object detection datasets

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Perception toolkit for sim2real training and validation

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Most popular metrics used to evaluate object detection algorithms.

FoveaBox: Beyond Anchor-based Object Detector

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection, CVPR2021

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Computer vision based vehicle detection and tracking using Tensorflow Object Detection API and Kalman-filtering

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

Label images and video for Computer Vision applications

A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

Video detection library

Video Platform for Action Recognition and Object Detection in Pytorch

Image segmentation - general superpixel segmentation & center detection & region growing

Research platform for 3D object detection in PyTorch.

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

One-click image sorting/labelling script

Face detection using deep learning.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

Annotation tool for images

This repository contains the source code of our work on designing efficient CNNs for computer vision

ImageNet 2015 Object Detection from Video (VID)

In-Browser Object Detection using Tiny YOLO on Tensorflow.js

Google Brain AutoML

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

Deformable convolution net on Tensorflow

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Head Person Helmet Detection on Construction Sites，基于目标检测工地安全帽和禁入危险区域识别系统，🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Convert any classification model or architecture trained in keras to an object detection model

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Object detection with ssd_mobilenet and tiny-yolo (Add: YOLOv3, tflite)

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

✏️ Web-based image segmentation tool for object detection, localization, and keypoints

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥